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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/24 14:59:40 UTC
Build failed in Jenkins: beam_python_mongoio_load_test #4124
See <https://ci-beam.apache.org/job/beam_python_mongoio_load_test/4124/display/redirect?page=changes>
Changes:
[Moritz Mack] Update remaining pointers to Spark runner to Spark 3 module (addresses
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Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)
Collecting pyasn1>=0.1.7
Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Collecting oauthlib>=3.0.0
Using cached oauthlib-3.2.2-py3-none-any.whl (151 kB)
Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.44.0.dev0-py3-none-any.whl size=2878723 sha256=757a50a3c2ce9a56e2661ea0abd066bc30191bb8cad5a6a608cc3e780438c47c
Stored in directory: /home/jenkins/.cache/pip/wheels/31/63/74/6fb38e74fff3954a4c3f4997593b9c08658cb7935c4cd90455
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.24.96 botocore-1.27.96 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.13.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.3 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.5 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0
> Task :sdks:python:test-suites:dataflow:py37:mongodbioIT
INFO:__main__:Writing 1000000 documents to mongodb
<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/apache_beam/io/mongodbio_it_test.py>:80: FutureWarning: WriteToMongoDB is experimental.
known_args.batch_size))
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221018
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221018" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f9fb1879a70> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f9fb187a290> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1024144519-277546-gu89w8hm.1666622719.277951/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1024144519-277546-gu89w8hm.1666622719.277951/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1024144519-277546-gu89w8hm.1666622719.277951/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1024144519-277546-gu89w8hm.1666622719.277951/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221024144519278849-1611'
createTime: '2022-10-24T14:45:20.623001Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-10-24_07_45_19-1426253060751359716'
location: 'us-central1'
name: 'beamapp-jenkins-1024144519-277546-gu89w8hm'
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startTime: '2022-10-24T14:45:20.623001Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-24_07_45_19-1426253060751359716]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-24_07_45_19-1426253060751359716
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-24_07_45_19-1426253060751359716?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-24_07_45_19-1426253060751359716 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:20.034Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:21.090Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-24_07_45_19-1426253060751359716. The number of workers will be between 1 and 1000.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:21.161Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-24_07_45_19-1426253060751359716.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:22.947Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.354Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.385Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.445Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.478Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.513Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.541Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.583Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.615Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:3481>) into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.649Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/FlatMap(<lambda at core.py:3481>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.683Z: JOB_MESSAGE_DETAILED: Fusing consumer Create documents into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.716Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_GenerateObjectIdFn) into Create documents
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.751Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/AddRandomKeys into WriteToMongoDB/ParDo(_GenerateObjectIdFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.780Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into WriteToMongoDB/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.818Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify into WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.846Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.882Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.914Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.936Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/RemoveRandomKeys into WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:24.962Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_WriteMongoFn) into WriteToMongoDB/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.034Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.060Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.089Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.232Z: JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.290Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.328Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.369Z: JOB_MESSAGE_BASIC: Starting 5 workers in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.634Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-24_07_45_19-1426253060751359716 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.711Z: JOB_MESSAGE_DEBUG: Value "WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:25.775Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3481>)+Create/Map(decode)+Create documents+WriteToMongoDB/ParDo(_GenerateObjectIdFn)+WriteToMongoDB/Reshuffle/AddRandomKeys+WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:45:37.695Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:46:07.345Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:46:35.517Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:48:54.839Z: JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 1 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:48:54.867Z: JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers but reached the minimum number allowed for the job.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:48:59.897Z: JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:53:05.968Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3481>)+Create/Map(decode)+Create documents+WriteToMongoDB/ParDo(_GenerateObjectIdFn)+WriteToMongoDB/Reshuffle/AddRandomKeys+WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:53:06.031Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:53:06.087Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:53:06.156Z: JOB_MESSAGE_BASIC: Executing operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+WriteToMongoDB/Reshuffle/RemoveRandomKeys+WriteToMongoDB/ParDo(_WriteMongoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:54:22.849Z: JOB_MESSAGE_BASIC: Finished operation WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+WriteToMongoDB/Reshuffle/RemoveRandomKeys+WriteToMongoDB/ParDo(_WriteMongoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:54:22.922Z: JOB_MESSAGE_DEBUG: Executing success step success11
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:54:22.980Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:54:23.042Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:54:23.079Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:35.824Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized worker pool from 1 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:35.875Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:35.908Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-24_07_45_19-1426253060751359716 is in state JOB_STATE_DONE
INFO:__main__:Writing 1000000 documents to mongodb finished in 687.567 seconds
INFO:__main__:================================================================================
INFO:__main__:Reading from mongodb beam_mongodbio_it_db:integration_test_1666622718
INFO:__main__:reader params : {'projection': ['number']}
INFO:__main__:expected results: {'number_sum': 499999500000, 'docs_count': 1000000}
<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/apache_beam/io/mongodbio_it_test.py>:153: FutureWarning: ReadFromMongoDB is experimental.
| 'Map' >> beam.Map(lambda doc: doc['number']))
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221018
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221018" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f9fb1879a70> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f9fb187a290> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1024145647-559097-5g05v5yv.1666623407.559533/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1024145647-559097-5g05v5yv.1666623407.559533/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1024145647-559097-5g05v5yv.1666623407.559533/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1024145647-559097-5g05v5yv.1666623407.559533/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-24_07_56_48-15478862709417067575]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-24_07_56_48-15478862709417067575
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-24_07_56_48-15478862709417067575?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-24_07_56_48-15478862709417067575 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:48.585Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:49.554Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-24_07_56_48-15478862709417067575. The number of workers will be between 1 and 1000.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:49.590Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-24_07_56_48-15478862709417067575.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:51.365Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.518Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.538Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.607Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.631Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step assert_that/Group/CoGroupByKeyImpl/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.715Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.737Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.776Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.797Z: JOB_MESSAGE_DEBUG: Inserted coder converter before flatten ref_AppliedPTransform_Flatten_34
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.817Z: JOB_MESSAGE_DEBUG: Inserted coder converter after flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_47
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.843Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_47 for input ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Tag-0-_45.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.862Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/Group/CoGroupByKeyImpl/Flatten/OutputIdentity, through flatten assert_that/Group/CoGroupByKeyImpl/Flatten, into producer assert_that/Group/CoGroupByKeyImpl/Tag[0]
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.887Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values) into assert_that/Group/CoGroupByKeyImpl/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.907Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/RestoreTags into assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.928Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into assert_that/Group/RestoreTags
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.951Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.974Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_47-u47 for input ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_47.None-c45
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:52.994Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write, through flatten assert_that/Group/CoGroupByKeyImpl/Flatten/Unzipped-1, into producer assert_that/Group/CoGroupByKeyImpl/Flatten/OutputIdentity
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.021Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Flatten/OutputIdentity into assert_that/Group/CoGroupByKeyImpl/Tag[1]
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.040Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write into assert_that/Group/CoGroupByKeyImpl/Flatten/OutputIdentity
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.062Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_Flatten_34 for input ref_AppliedPTransform_Combine-InjectDefault_20.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.084Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/WindowInto(WindowIntoFn), through flatten Flatten, into producer Combine/InjectDefault
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.109Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[1] into assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.129Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_Flatten_34-u54 for input ref_AppliedPTransform_assert_that-WindowInto-WindowIntoFn-_41.None-c52
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.155Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/ToVoidKey, through flatten Flatten/Unzipped-1, into producer assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.175Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/KeyWithVoid into Map
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.200Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/KeyWithVoid into Map
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.220Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into Flatten/InputIdentity
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.240Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.266Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromMongoDB/Read/Map(<lambda at iobase.py:908>) into ReadFromMongoDB/Read/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.288Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_ReadFromMongoDB-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction into ReadFromMongoDB/Read/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.308Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_ReadFromMongoDB-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing into ref_AppliedPTransform_ReadFromMongoDB-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.330Z: JOB_MESSAGE_DETAILED: Fusing consumer Map into ref_AppliedPTransform_ReadFromMongoDB-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.355Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/CombinePerKey/GroupByKey+Combine/CombinePerKey/Combine/Partial into Combine/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.376Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/CombinePerKey/GroupByKey/Write into Combine/CombinePerKey/GroupByKey+Combine/CombinePerKey/Combine/Partial
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.396Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/CombinePerKey/Combine into Combine/CombinePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.423Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/CombinePerKey/Combine/Extract into Combine/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.447Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/UnKey into Combine/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.470Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/CombinePerKey/GroupByKey+Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine/Partial into Count/CombineGlobally(CountCombineFn)/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.492Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/CombinePerKey/GroupByKey/Write into Count/CombineGlobally(CountCombineFn)/CombinePerKey/GroupByKey+Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine/Partial
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.513Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine into Count/CombineGlobally(CountCombineFn)/CombinePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.539Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine/Extract into Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.559Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/UnKey into Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.581Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/DoOnce/FlatMap(<lambda at core.py:3481>) into Combine/DoOnce/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.602Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/DoOnce/Map(decode) into Combine/DoOnce/FlatMap(<lambda at core.py:3481>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.622Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine/InjectDefault into Combine/DoOnce/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.648Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/DoOnce/FlatMap(<lambda at core.py:3481>) into Count/CombineGlobally(CountCombineFn)/DoOnce/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.673Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/DoOnce/Map(decode) into Count/CombineGlobally(CountCombineFn)/DoOnce/FlatMap(<lambda at core.py:3481>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.694Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/InjectDefault into Count/CombineGlobally(CountCombineFn)/DoOnce/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.717Z: JOB_MESSAGE_DETAILED: Fusing consumer Flatten/InputIdentity into Count/CombineGlobally(CountCombineFn)/InjectDefault
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.740Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:3481>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.763Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:3481>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.785Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[0] into assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.837Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.865Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.888Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.910Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:54.037Z: JOB_MESSAGE_DEBUG: Executing wait step start73
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:54.086Z: JOB_MESSAGE_BASIC: Executing operation ReadFromMongoDB/Read/Impulse+ReadFromMongoDB/Read/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_ReadFromMongoDB-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction+ref_AppliedPTransform_ReadFromMongoDB-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:54.128Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:54.148Z: JOB_MESSAGE_BASIC: Starting 5 workers in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-24_07_56_48-15478862709417067575 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:57:14.482Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:57:33.670Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:58:00.127Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
Terminated
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=a7da0aa8-a84f-4381-8454-d04bbe66a2e6, currentDir=<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 517803
log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-517803.out.log
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.673Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/DoOnce/Map(decode) into Count/CombineGlobally(CountCombineFn)/DoOnce/FlatMap(<lambda at core.py:3481>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.694Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/InjectDefault into Count/CombineGlobally(CountCombineFn)/DoOnce/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.717Z: JOB_MESSAGE_DETAILED: Fusing consumer Flatten/InputIdentity into Count/CombineGlobally(CountCombineFn)/InjectDefault
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.740Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:3481>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.763Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:3481>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.785Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[0] into assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.837Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.865Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.888Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:53.910Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:54.037Z: JOB_MESSAGE_DEBUG: Executing wait step start73
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:54.086Z: JOB_MESSAGE_BASIC: Executing operation ReadFromMongoDB/Read/Impulse+ReadFromMongoDB/Read/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_ReadFromMongoDB-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction+ref_AppliedPTransform_ReadFromMongoDB-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:54.128Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:56:54.148Z: JOB_MESSAGE_BASIC: Starting 5 workers in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-24_07_56_48-15478862709417067575 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:57:14.482Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:57:33.670Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-24T14:58:00.127Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
Terminated
Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt.
----- End of the daemon log -----
FAILURE: Build failed with an exception.
* What went wrong:
Gradle build daemon disappeared unexpectedly (it may have been killed or may have crashed)
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.
* Get more help at https://help.gradle.org
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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